Brown CS Blog

The leader of Brown’s NSF-funded AI research institute talks AI doom scenarios, the frontier labs’ “slowdown”, and making AI safer.

Recently included in the Forbes 30 Under 30, Heidi designed Brown's first independent concentration in Game Design and Development.

The course tackles cybersecurity issues including deepfakes, copyright, privacy, national security and decision-making.

"My courses focus equally on the technical and artistic processes involved in creating computer imagery and animation. While resources for the technical side are abundant, I draw on my own experience as a painter to teach the artistic side.”

Following a University report on AI, Brown leaders discuss aligning AI policy with academic excellence, safeguarding academic integrity, supporting faculty and students, and preserving critical thinking in the age of AI.

A new project (“Where are the data workers behind AI?”) from the Center for Technological Responsibility, Reimagination and Redesign is an investigative attempt to make the data annotation and labeling industry transparent.

 

 

In a new blog post, Emily Hong, who co-led the CNTR AISLE Legislation Lab with Dre Boyd-Weatherly, takes a moment to reflect on the lab’s journey of success, growth, and iteration thus far.

A recent Brown+Beyond event welcomed alums and friends to a discussion with two campus AI leaders, Michael Littman and Brenda Rubenstein.

Last week, Brown CS Master's student Ilana Nguyen spoke at the UN about AI in education. The central question: How do we ensure that AI expands opportunity rather than reinforce existing inequities?

Imagine watching a concert not from a fixed camera angle, but from any angle. The catch? Volumetric video is incredibly hard to store and stream, and you can have the most photorealistic 4D scene in the world, but if you can't get it to a viewer efficiently, it's stuck in a lab. Our work, PackUV, tackles exactly this problem.